#SYNOLOGY CLOUDBERRY BACKUP S3 GOVCLOUD ARCHIVE#
You can also use Tape Gateway configuration of AWS Storage Gateway to create a Virtual Tape Library (VTL) and configure it to use Glacier Deep Archive for storage of archived virtual tapes. If I am building a system that manages archiving and restoration, I can opt to receive notifications on an SNS topic, an SQS queue, or a Lambda function when a restore is initiated and/or completed: $ aws s3 cp s3://awsroadtrip-videos-raw/new.mov s3://awsroadtrip-videos-raw/new.mov -storage-class DEEP_ARCHIVE I can use the CLI to upload a new object and set the storage class: Using Glacier Deep Archive – CLI / Programmatic Access Next, I indicate that I want the rule to apply to the Current version of my objects, and specify that I want my objects to transition to Glacier Deep Archive 30 days after they are created: I enter a name ( ArchiveOldMovies), and can optionally use a path or tag filter to limit the scope of the rule: Then I click Add lifecycle rule and create my rule. I select the bucket and click Management, then select Lifecycle: Using Glacier Deep Archive Storage – Lifecycle Rules Then I specify the number of days to keep the restored copy available, and choose either bulk or standard retrieval: In the unlikely event that I need to access this 2013-era video, I select it and choose Restore from the Actions menu:
#SYNOLOGY CLOUDBERRY BACKUP S3 GOVCLOUD DOWNLOAD#
I cannot download the object or edit any of its properties or permissions after I make this change: Next, I select Glacier Deep Archive and click Save: I can switch the storage class of an existing S3 object to Glacier Deep Archive using the S3 Console. Using Glacier Deep Archive Storage – Console If you are already making use of the Glacier storage class and rarely access your data, you can switch to Deep Archive and begin to see cost savings right away. To learn more about the entire range of options, read Storage Classes in the S3 Developer Guide. The existing S3 Glacier storage class allows you to access your data in minutes (using expedited retrieval) and is a good fit for data that requires faster access. You can also make use of other S3 features such as Storage Class Analysis, Object Tagging, Object Lock, and Cross-Region Replication. You can specify the new storage class when you upload objects, alter the storage class of existing objects manually or programmatically, or use lifecycle rules to arrange for migration based on object age. Your existing S3-compatible applications, tools, code, scripts, and lifecycle rules can all take advantage of Glacier Deep Archive storage. You no longer need to deal with expensive and finicky tape drives, arrange for off-premises storage, or worry about migrating data to newer generations of media. Data is stored across 3 or more AWS Availability Zones and can be retrieved in 12 hours or less. The new Glacier Deep Archive storage class is designed to provide durable and secure long-term storage for large amounts of data at a price that is competitive with off-premises tape archival services. Today we are introducing a new and even more cost-effective way to store important, infrequently accessed data in Amazon S3.Īmazon S3 Glacier Deep Archive Storage Class Science / Research / Education – Research input and results, including data relevant to seismic tests for oil & gas exploration. Transportation – Vehicle telemetry, video, RADAR, and LIDAR data. Online Advertising – Clickstreams and ad delivery logs. Media & Entertainment – Media archives and raw production footage. Health Care / Life Sciences – Electronic medical records, images (X-Ray, MRI, or CT), genome sequences, records of pharmaceutical development. Here are some of the industries and use cases that fit this description:įinancial – Transaction archives, activity & audit logs, and communication logs. In other cases, the data is retained for compliance or auditing purposes. In some cases raw data is collected and immediately processed, then stored for years or decades just in case there’s a need for further processing or analysis. Many AWS customers collect and store large volumes (often a petabyte or more) of important data but seldom access it.